Cristina Nuzzi
Papers
10
Total Citations
227
H-Index
9
About
Cristina Nuzzi is a robotics researcher whose work sits at the intersection of human-robot interaction, computer vision, and collaborative robotics. Her research focuses primarily on developing intuitive, gesture-based interfaces that allow humans to communicate naturally with collaborative robots (cobots), with a strong emphasis on deep learning and machine vision techniques. Nuzzi's most influential contribution is her pioneering application of Faster R-CNN object detection to hand gesture recognition for collaborative robots, a line of work that began in 2018 and matured into a robust framework earning over 80 combined citations across its iterations. Her 2021 HANDS dataset — an RGB-D collection of static hand gestures specifically designed for human-robot interaction research — represents a valuable open contribution to the broader research community. She has also advanced multimodal interaction paradigms, integrating voice commands, augmented reality teleoperation, and face recognition into cohesive cobot control systems. Beyond gesture interfaces, Nuzzi has addressed practical industrial challenges, including vision-based cobot calibration and TOF camera-based safety systems for robotic cells. With over 220 cumulative citations and a consistent publication record across several years, her work meaningfully advances the goal of making collaborative robots accessible, safe, and responsive to natural human communication.
Research Focus
Key Achievements
Top Papers
- 1Deep learning-based hand gesture recognition for collaborative robots53 citations · 2019
- 2
- 3
- 4HANDS: an RGB-D dataset of static hand-gestures for human-robot interaction28 citations · 2021
- 5
- 6Hands-Free: a robot augmented reality teleoperation system16 citations · 2020
- 7
- 8
- 9
- 10Towards safe collaborative interaction empowered by face recognition3 citations · 2021